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2026-02-105min readProduct

Improving recipe quality with multi-model routing

We refined per-task model routing to improve consistency and response speed.

Different Friji tasks need different response shapes, so a single-model approach was no longer the right tradeoff for both latency and answer quality.

We reclassified the main paths such as inventory analysis, substitution suggestions, and recipe generation, then routed each class to the strongest model for that job.

The result was more consistent output quality and faster first responses on the user side without changing the overall product flow.

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Friji 使用 AI 分析冰箱中的食材, 并提供个性化食谱与餐单的智能厨房平台。 践行零浪费,节省餐饮开支。

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